Prediction of UHPC mechanical properties using optimized hybrid machine learning model with robust sensitivity and uncertainty analysis

Prediction of UHPC mechanical properties using optimized hybrid machine learning model with robust sensitivity and uncertainty analysis

This study presents a comprehensive evaluation of three hybrid machine learning models XGB-LGB, RF-XGB, and ET-LGB for predicting the mechanical performance of Ultra-High-Performance Concrete (UHPC), including compressive strength (CS), flexural strength (FS), and tensile strength (TS). Each dataset...

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Bibliographic Details
Main Authors: ZhiGuang Zhou, Jagaran Chakma, Md Ahatasamul Hoque, Vaskar Chakma, Asif Ahmed
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Materials Research Express
Subjects:
UHPC
hybrid machine learning
sensitivity analysis
uncertainty analysis
Online Access:https://doi.org/10.1088/2053-1591/adf8c4
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